Teaching
Winter term 2024/2025
Seminar where recent deep learning papers are presented and discussed.
Introduction to Graph Machine Learning
Summer term 2024
Practical course on applying deep learning for image generation.
Bachelor’s and Master’s theses
General requirements
If you’re interested in joining our lab for a thesis, have a look at this document describing how we work and what we expect from you.
We expect prospective students to have substantial knowledge in machine learning, its mathematical foundations and Python programming. We therefore expect students interested in doing their thesis in our lab to take our courses on Machine Learning and Deep Learning for Computer Vision unless they have acquired equivalent knowledge otherwise. For Bachelor’s students, we also recommend the Practical Course Data Science.
Further recommended courses are:
- M.Inf.2241: Current Topics in Machine Learning (seminar)
- M.Inf.2541: Current Topics in Computational Neuroscience (seminar)
- M.Inf.2242: Journal Club Machine Learning and Computational Neuroscience (can be done in parallel to master’s thesis)
- M.Inf.2201: Probabilistic Machine Learning (by Fabian Sinz)
- B.Inf.1240: Visualization (by Bernhard Schmitzer)
Please note, our thesis supervision capacity is limited and we receive more thesis inquiries than we are able supervise. Therefore, we have to select candidates. If you are interested, please write an email with the subject “Master’s thesis” or “Bachelor’s thesis” containing one to three sentences about what you would like to work on and your study record to the supervisor stated below.
We will get back to you within a few days. Otherwise, do not hesitate to remind us :).
